{"meta":{"query_hash":"192fba68a0ee","filters":{"venue":"Transactions on data privacy"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/192fba68a0ee","api":"https://metacan.xera.ac/api/v1/cohort?venue=Transactions+on+data+privacy"},"results":[{"id":"W2167163614","doi":"","title":"Theoretical Results on De-Anonymization via Linkage Attacks","year":2012,"lang":"en","type":"article","venue":"Transactions on data privacy","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Heuristic; Adversary; Metric (unit); Data anonymization; Data mining; Linkage (software); Database; Simple (philosophy); Record linkage; Information retrieval; Information privacy; Computer security; Artificial intelligence","score_opus":0.05703286759336395,"score_gpt":0.3187991067025479,"score_spread":0.26176623910918395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167163614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009338541,0.000036901674,0.9674943,0.026769528,0.00051783666,0.00025350417,0.0005274789,0.0011927349,0.0022738706],"genre_scores_gemma":[0.7377863,0.000102566155,0.26116142,0.0005136442,0.00008093482,0.000019710387,0.0002727874,0.000023524506,0.000039123344],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974695,0.00019960645,0.00039335783,0.00080017286,0.00046654747,0.000670845],"domain_scores_gemma":[0.97762597,0.00057326833,0.00010785191,0.02145847,0.000044201654,0.00019023275],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0011836818,0.00025385528,0.0001958063,0.00024761976,0.0002885439,0.00017801707,0.031079536,0.000241237,0.00020216781],"category_scores_gemma":[0.0057744496,0.00023614091,0.00005427588,0.0006647699,0.00020864546,0.002170108,0.0062123844,0.00069009076,0.0005797945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032269178,0.0025659467,0.00016380117,0.0000599447,0.00016983837,0.000032167958,0.0006837989,0.0006223686,0.00088708673,0.13775209,0.23560391,0.62113637],"study_design_scores_gemma":[0.0017870227,0.00041548396,0.0015186766,0.00013578014,0.00007080049,0.000088023604,0.000027001786,0.7809204,0.02155611,0.14479189,0.04776286,0.0009259512],"about_ca_topic_score_codex":0.000014677949,"about_ca_topic_score_gemma":0.000001959416,"teacher_disagreement_score":0.78029805,"about_ca_system_score_codex":0.00014348004,"about_ca_system_score_gemma":0.00006739282,"threshold_uncertainty_score":0.97416276},"labels":[],"label_agreement":null},{"id":"W2182843508","doi":"","title":"Combining Binary Classifiers for a Multiclass Problem with Differential Privacy","year":2014,"lang":"en","type":"article","venue":"Transactions on data privacy","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Differential privacy; Support vector machine; Binary number; Data mining; Artificial intelligence; Multiclass classification; Classifier (UML); Binary classification; Random subspace method; Machine learning; Class (philosophy); Binary data; Pattern recognition (psychology); Mathematics","score_opus":0.06127347015003114,"score_gpt":0.29225316576682625,"score_spread":0.2309796956167951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182843508","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008060042,0.000010597418,0.9670439,0.021516204,0.000344861,0.0009324944,0.00033496556,0.0015645985,0.0001923611],"genre_scores_gemma":[0.49438572,0.000018641762,0.504986,0.0001440808,0.000029829418,0.00015546002,0.00019905735,0.00003867973,0.000042570737],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967487,0.00013136039,0.00045175647,0.0014412502,0.0005019888,0.00072497],"domain_scores_gemma":[0.97922754,0.0006572207,0.0002026074,0.019646706,0.000095603486,0.0001703478],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.00049973844,0.00040402473,0.000389308,0.00033524554,0.00055233465,0.00039337596,0.04038491,0.00019438924,0.000022273012],"category_scores_gemma":[0.0018404512,0.00034727348,0.00008135697,0.0006433463,0.00019444173,0.0021395083,0.008358442,0.0006035842,0.000036227426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092880736,0.003659917,0.00047479064,0.00064085075,0.00089628977,0.00003745132,0.0010188392,0.0015127204,0.0050674323,0.019078,0.1998646,0.7668203],"study_design_scores_gemma":[0.0028706784,0.0008189837,0.00041193503,0.00015691291,0.00007501709,0.000025882064,0.00003369032,0.93634945,0.002486575,0.018263238,0.03789865,0.0006089844],"about_ca_topic_score_codex":0.000034303335,"about_ca_topic_score_gemma":0.000016636344,"teacher_disagreement_score":0.93483675,"about_ca_system_score_codex":0.00011014036,"about_ca_system_score_gemma":0.00012813609,"threshold_uncertainty_score":0.9998979},"labels":[],"label_agreement":null}]}